T
Tom Krupenkin
Researcher at University of Wisconsin-Madison
Publications - 35
Citations - 3135
Tom Krupenkin is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Electrowetting & Wetting. The author has an hindex of 16, co-authored 33 publications receiving 2784 citations. Previous affiliations of Tom Krupenkin include Alcatel-Lucent & Bell Labs.
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Design of ice-free nanostructured surfaces based on repulsion of impacting water droplets.
Lidiya Mishchenko,Benjamin Hatton,Vaibhav Bahadur,J. Ashley Taylor,Tom Krupenkin,Joanna Aizenberg +5 more
TL;DR: Factors contributing to droplet retraction, pinning and freezing are addressed by combining classical nucleation theory with heat transfer and wetting dynamics, forming the foundation for the development of rationally designed ice-preventive materials.
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From rolling ball to complete wetting: the dynamic tuning of liquids on nanostructured surfaces
TL;DR: For the first time, a dynamic electrical control of the wetting behavior of liquids on nanostructured surfaces, which spans the entire possible range from the superhydrophobic behavior to nearly complete wetting, is demonstrated.
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Reverse electrowetting as a new approach to high-power energy harvesting
Tom Krupenkin,J. Ashley Taylor +1 more
TL;DR: A novel mechanical-to-electrical energy conversion method based on the reverse electrowetting phenomenon, uniquely suited for high-power energy harvesting from a wide variety of environmental mechanical energy sources.
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Nanonails: a simple geometrical approach to electrically tunable superlyophobic surfaces.
A Ahuja,Joseph Ashley Taylor,Victor A. Lifton,Alexander Sidorenko,Todd Salamon,Edgar Lobaton,Paul Kolodner,Tom Krupenkin +7 more
TL;DR: In this paper, dynamically tunable, superlyophobic surfaces capable of undergoing a transition from profound superyophobic behavior to almost complete wetting have been demonstrated for the first time, and the results provide novel methods of manipulating liquids on the microscale.
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Predictive Model for Ice Formation on Superhydrophobic Surfaces
Vaibhav Bahadur,Lidiya Mishchenko,Benjamin Hatton,J. Ashley Taylor,Joanna Aizenberg,Tom Krupenkin +5 more
TL;DR: The framework of the present work is the first detailed modeling tool developed for the design and analysis of surfaces for various ice prevention/reduction strategies and can be used to study the influence of surface morphology, surface chemistry, and fluid and thermal properties on dynamic ice formation and identify parameters critical to achieving icephobic surfaces.